{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Build path of particle drifting\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from matplotlib import pyplot as plt\nfrom numpy import arange, meshgrid\n\nfrom py_eddy_tracker import start_logger\nfrom py_eddy_tracker.data import get_demo_path\nfrom py_eddy_tracker.dataset.grid import GridCollection\n\nstart_logger().setLevel(\"ERROR\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Load data cube\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "c = GridCollection.from_netcdf_cube(\n    get_demo_path(\"dt_med_allsat_phy_l4_2005T2.nc\"),\n    \"longitude\",\n    \"latitude\",\n    \"time\",\n    unset=True\n)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Advection properties\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "nb_days, step_by_day = 10, 6\nnb_time = step_by_day * nb_days\nkw_p = dict(nb_step=1, time_step=86400 / step_by_day)\nt0 = 20210"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Get paths\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "x0, y0 = meshgrid(arange(32, 35, 0.5), arange(32.5, 34.5, 0.5))\nx0, y0 = x0.reshape(-1), y0.reshape(-1)\nt, x, y = c.path(x0, y0, h_name=\"adt\", t_init=t0, **kw_p, nb_time=nb_time)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot paths\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "ax = plt.figure(figsize=(9, 6)).add_subplot(111, aspect=\"equal\")\nax.plot(x0, y0, \"k.\", ms=20)\nax.plot(x, y, lw=3)\nax.set_title(\"10 days particle paths\")\nax.set_xlim(31, 35), ax.set_ylim(32, 34.5)\nax.grid()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}